Since you’re here...

We hope you will consider supporting us today. We need your support to continue to exist, because good entries are more and more work time. Every reader contribution, however big or small, is so valuable. Support "Chess Engines Diary" even a small amount– and it only takes a minute. Thank you.
============================== My email: jotes@go2.pl



Chess engine: ShashChess 25.4 (for Windows and Linux)

on
ShashChess - UCI chess engine.
Rating CEDR=3725 (01.11.2022)

ShashChess is a free UCI chess engine derived from Stockfish family chess engines. 

v.25.4:
Reintroduced mctsThreads option
Stockfish patch
Author: Joost VandeVondele
Date: Sat Nov 5 09:15:53 2022 +0100
Timestamp: 1667636153
Normalize evaluation

Normalizes the internal value as reported by evaluate or search
to the UCI centipawn result used in output. This value is derived from
the win_rate_model() such that Stockfish outputs an advantage of
"100 centipawns" for a position if the engine has a 50% probability to win
from this position in selfplay at fishtest LTC time control.

The reason to introduce this normalization is that our evaluation is, since NNUE,
no longer related to the classical parameter PawnValueEg (=208). This leads to
the current evaluation changing quite a bit from release to release, for example,
the eval needed to have 50% win probability at fishtest LTC (in cp and internal Value)


Individual statistics: ShashChess 22 - 184 games CEDR (+ 21,=162,-  1), 55.4 %
Raubfisch X48e                :   4 (+  0,=  4,-  0), 50.0 %
SugaR AI 2.50                 :   4 (+  0,=  4,-  0), 50.0 %
Kayra 1.3                     :   4 (+  0,=  4,-  0), 50.0 %
Koivisto 8.6                  :   2 (+  2,=  0,-  0), 100.0 %
Stockfish 15                  :   6 (+  0,=  6,-  0), 50.0 %
Fisherov 0.98k                :  28 (+  0,= 28,-  0), 50.0 %
BrainLearn 17                 :  28 (+  0,= 28,-  0), 50.0 %
Fisherov 0.98g                :   4 (+  0,=  4,-  0), 50.0 %
EMAN 7.93                     :   8 (+  0,=  8,-  0), 50.0 %
Lc0 0.29.0-rc0                :   4 (+  1,=  3,-  0), 62.5 %
Weiawaga 5.0.0                :   2 (+  2,=  0,-  0), 100.0 %
Wasp 5.50                     :   4 (+  2,=  2,-  0), 75.0 %
Rebel 15                      :   4 (+  3,=  1,-  0), 87.5 %
Fisherov 0.98j                :   2 (+  0,=  2,-  0), 50.0 %
Eman 7.40                     :   2 (+  0,=  2,-  0), 50.0 %
Komodo 13.02                  :   4 (+  4,=  0,-  0), 100.0 %
Arasan 23.3                   :   2 (+  0,=  2,-  0), 50.0 %
Avalanche 0.3a                :   2 (+  2,=  0,-  0), 100.0 %
Swordfish 15.1                :   2 (+  0,=  2,-  0), 50.0 %
Rebel 14.2                    :   2 (+  2,=  0,-  0), 100.0 %
Seer 2.5                      :   2 (+  1,=  1,-  0), 75.0 %
Blue Marlin 15.1              :   2 (+  0,=  2,-  0), 50.0 %
Berserk 9-dev e68765ea32a3    :   2 (+  1,=  1,-  0), 75.0 %
CorChess 290522               :  20 (+  0,= 20,-  0), 50.0 %
Fisherov chess monk 1.1       :  20 (+  1,= 19,-  0), 52.5 %
Stockfish 070622              :  20 (+  0,= 19,-  1), 47.5 %

ShashChess 25.4 - download 
github:https://github.com/amchess/ShashChess/releases/tag/25.4

Comments

Post a Comment